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We Grew En Yakıt’s Organic Users by 201%!

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For En Yakıt, Turkey’s first licensed EV charging brand, we’ve run an SEO and GEO program since May 2025 built on one simple but powerful fact: there’s only a single letter of difference between the Turkish words for “nearest” (en yakın) and “En Yakıt.” Wherever a driver searched for the nearest charging station, the answer had to be En Yakıt.

We turned that insight into a scalable SEO and GEO system built to carry demand that a single page never could. The target was 80% organic growth — we delivered two and a half times that: 201%.

There’s only one letter between “en yakın” (nearest) and “En Yakıt.” Wherever a driver searched from, the answer had to be En Yakıt. Today, it is.

Discovery: The Demand Was There, the Brand Wasn’t

We started with Semrush and Google Search Console data: the six core charging-station searches totaled roughly 102,400 monthly searches, yet En Yakıt didn’t even rank in the top 100 for the two biggest ones. The brand’s only station listing, /harita, drew under 100 organic visits a month with a click-through rate of just 1.8%.

The data told us four things clearly: demand was large but the brand was invisible; drivers searched by city — “mersin charging stations,” “van charging stations” — with no page answering them; a single page couldn’t carry that load; and the driver’s real question was hiding in the brand’s own name: “Where’s the nearest charging station?”

The Idea: One Letter of Difference

We turned a coincidence in the brand’s name into a strategy. Closing the one-letter gap between “nearest” and “En Yakıt” on Google was our job. At the outset, based on regional search volume and competitive analysis, we set a clear target with the brand: 80% organic traffic growth.

En Yakıt’s old /harita page — just a map, no city information or content

Execution: From a Map to a Guide

  • Answer page: we turned /harita, a page search engines couldn’t read, into a filterable listing (/sarj-istasyonlari) by city and kW; we rebuilt the title, meta description, H1, and internal linking from scratch, and 301-redirected the old URL.
  • City engine: we built software that generates a unique page — with its own title and H1 — for every city from the station data. Today it powers 59 city pages and 364 stations, with new stations added regularly.
  • Structured data: we added LocalBusiness and Place schema.org markup to city pages and distributed authority through an HTML sitemap; the site is now also open to AI assistants’ crawlers.
En Yakıt’s new /sarj-istasyonlari page — city and kW filters, SEO-optimized guide

Results: Two and a Half Times the Target

The target was 80%; the result was 201%. Over the last 12 months, organic users grew from 39,100 to 117,670; organic sessions rose 171%, returning organic users 103%, and organic form submissions 147% (323 to 797). Monthly clicks from charging searches grew 4.5x, and the average Google position improved from 13.6 to 5.3.

The province-level impact is even more striking: we started with zero provinces in the top 3, and now rank top 3 in 21, top 5 in 37, and top 10 in 59. Keywords in the top-5 bracket grew from 1 to 212, and total ranking keywords from 256 to 759.

AI Visibility (GEO)

En Yakıt pages were cited as a source in Google’s AI answers (AI Overviews and AI Mode) 215 times, with 282,000 total impressions across those answers. Sessions from AI assistants like ChatGPT grew from zero to 167 — a concrete, measurable return on GEO work.

Conclusion

This wasn’t just a traffic increase — it was driver acquisition. Organic form submissions grew from 323 to 797, and 87% of all form submissions on the site now come from organic search. Active platform users passed 41,000.

Because the city engine runs on station data, every new station the brand adds earns its own page on Google without any extra campaign budget. En Yakıt’s 2027 goal is 500 stations across 81 provinces — the organic visibility infrastructure is ready for that scale.

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